Image Processing System Correcting Optical Aberrations
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Solution Overview
Problem
Existing optical imaging systems suffer from imaging errors such as spherical aberration, geometric distortion, and vignetting, which affect the quality of formed images and image sequences. Additionally, artificially generated representations of objects often lack the aesthetic and realistic qualities of actually formed images.
Innovation Solution
A method and system for forming images of objects that modify imaging errors in actually formed images and ensure artificially generated representations have no discernible differences from actual images. This is achieved by using data processing devices to load and process data records containing imaging parameters and modification data, which correct or incorporate imaging errors to achieve desired image qualities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical imaging systems are used to form images, then images can be captured and recorded, but imaging errors such as spherical aberration, geometric distortion, and vignetting occur
Solution Approach 1:
The patent converts harmful imaging errors into beneficial aesthetic effects by allowing users to selectively preserve or enhance distortion, vignetting, and spherical aberration through parameter-based control. The system transforms what were previously considered defects into desirable artistic characteristics that can be adjusted independently of the rest of the image processing pipeline.
Solution Approach 2:
The patent applies different processing qualities to different regions and aspects of the image. Specifically, it allows bokeh (out-of-focus regions) to have different distortion characteristics compared to the in-focus regions, enabling localized aesthetic enhancement while maintaining overall image quality through region-specific parameter control.
2Ease of manufacture
If artificial image generation is used, then images can be created without optical limitations, but they lack the aesthetic and realistic qualities of actual optical images
Solution Approach 1:
The patent copies the aesthetic characteristics of optical imaging systems into artificial image generation by using parameter records that replicate distortion patterns, vignetting profiles, and bokeh behaviors. This allows digitally generated images to inherit the authentic look and feel of optical photography without requiring physical cameras, achieving realism through parameter-based replication.
Solution Approach 2:
The patent uses parameter changes to bridge artificial and optical image generation. By adjusting parameters such as distortion strength, vignetting amount, and bokeh characteristics, the system can transform perfectly clean digital images into ones that exhibit the subtle imperfections and aesthetic qualities characteristic of optical imaging, thereby enhancing perceived realism.
Data Source
AI summary
A method for forming an image of an object, a computer program product, and an image forming system for carrying out the method are provided. In the method, data about the object are provided by a first data processing device, and a first data record with first data is provided. The first data record is loaded from the first data processing device into a second data processing device. A second data record is loaded from a data memory into the second data processing device in dependence on the first data record loaded into the second data processing device. A processing data record is generated or detected based on the second data record. A two-dimensional output image of the object is generated by processing the data about the object with the processing data record, the output image having a predeterminable number of output image pixels.